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The primary and secondary endpoints measured on a continuous scale will be analysed using mixed models.
All secondary outcome measures will be analysed using mixed models in a similar manner.
The questionnaire data will be analysed using mixed effects linear models to manage the repeated measures.
42 WASAS scores will be analysed using mixed models in a manner similar to the analysis of IBS-SSS.
Intention-to-treat analysis will be used and repeated measures will be analysed using mixed modelling approach.
In order to adhere to the intention-to-treat principle, the outcome variables will be analysed using mixed effects models, given their ability to handle missing data.
Similar(52)
Outcomes measured at six months will be analysed using mixed-effects regression models with a random intercept for each participant.
Data were analysed using mixed effect models with repeated measures.
Changes in ratings of hunger, desire to eat, fullness and thirstiness VAS scales were analysed using mixed ANOVAs, with time as a repeated measure and BMI status as a between subject measure.
Relationships between production parameters and silage fermentation parameters were analysed using mixed model regression analyses; with subexperiment within experiment as a random factor.
Differences in RTs between tasks (top-down, bottom-up), trials (valid, neutral, invalid), and cues (food vs. non-food items) were analysed using mixed ANOVAs with the task condition as a repeated-measure and group (HW, OW/OB) as a between-subjects factor.
More suggestions(15)
be analysed using chi
be analyzed using mixed
be analysed using similar
be studied using mixed
be analysed using multilevel
be analysed using content
be evaluated using mixed
be done using mixed
be analysed using multiple
be undertaken using mixed
be calculated using mixed
be achieved using mixed
be analysed using standard
be solved using mixed
be analysed using logistic
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com